Cars are now connected to the internet and car manufacturers are becoming more like software companies, shifting focus from traditional hardware platforms towards the software and services platform, leveraging scalable cloud computing with machine learning and IoT. The car is not just about going from point A to point B anymore, but rather delivering a holistic experience that revolves around the activities in our daily lives. What are the challenges and opportunities that big data and machine learning can address? Learn what BMW is doing with machine learning to address the challenges of journey management, integrating daily activities into the car, and performing preventative automotive maintenance, to make the car become The Ultimate Smart Driving Machine.
Dr. Alvin Chin is a Senior Researcher in Machine Learning at BMW Technology Corporation, Chicago. His research interests include connected car, machine learning, big data, mobile social networking, and ubiquitous computing. Dr. Chin has authored more than 30 publications and 10 patents, including pending. He received a PhD in Computer Science from the University of Toronto and previously worked for Nokia Research Center, Nokia and Microsoft in Beijing, China. Dr. Chin is a member of various program committees such as IEEE VTC and ACM KDD. Dr. Chin is also active in the Chicago community, as Vice-Chair of ACM Chicago and President of the IEEE Vehicular Technology Society Chicago Chapter. He is the Industry Sessions Co-Chair of the IEEE Vehicular Technology Conference 2019-Fall and was Co-Chair of the Industry Track for IEEE Vehicular Technology Conference-Fall 2018.
6:00 p.m - 6:30 p.m is time for social. Seminar will start at 6:30 p.m.
Please note the office security needs to check your government issued ID (Driver License or Passport, please note Student ID is not valid for entry) . Thanks for your understanding.
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Please note we move the Meetup from Suite 875 to Suite 850 (same floor, but on the Allstate-branded side).